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Added 13 mins ago
TT
Founding Engineer
True Talent Solutions Partners
New York, NY
- $210,000 to $260,000 USD / year
- Startup experience, ideally including operating as a sole engineer and making systems architecture decisions as a product scales.
Added 13 mins ago
TT
Product Engineer, Mid-Senior
True Talent Solutions Partners
New York, NY
- $140,000 to $200,000 USD / year
Join a product engineering team at a Series A/B AI-powered workforce technology company, building software for staffing and industrial operations. You will apply AI agents and language…
Added 18 mins ago
Sales Development Representative
Strix
NY
This is not a spray-and-pray SDR seat. You will sell a deeply technical product to technical buyers (CISOs, security engineers, engineering leaders), so curiosity about security and AI is…
Added 21 mins ago
DT
AI (ML) Engineer - Colorado Springs, CO
Davidson Technologies, Inc.
Colorado Springs, CO
- $119,000 to $142,000 USD / year
…to deployment, and strong communication skills. As an AI/ML Engineer, you will be responsible for developing AI/ML products directly feeding the AI/ML strategy, communicating AI/ML concepts…
Added 36 mins ago
C
Software Engineer Compiler II (Full Time) – United States
Cisco
Austin, TX
- Full-time
…developer velocity, and binary resilience across Cisco's global product…
Added 40 mins ago
TT
Lead Product Engineer
True Talent Solutions Partners
New York, NY
- $225,000 to $275,000 USD / year
Join a lean engineering team building a new internal product for an industrial real estate investment business. As the first product-focused engineer, you will own the frontend and work…
Added 40 mins ago
TT
Founding Full-Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $240,000 USD / year
…technicians work with real-time assistance. You will own the product layer around the AI core, from connected devices and cloud services to companion…
Added 52 mins ago
Senior Simulation Mechanical Engineer
NVIDIA Corporation
North District, IL
Investigate reliability issues and conduct failure analyses to support robust product development.
Added 52 mins ago
Senior AI Security Researcher
NVIDIA Corporation
South District, IL · North District, IL
…industries and profoundly impacting society. NVIDIA Networking product security team is looking for an outstanding technical AI red teamer with hands-on safety and security experience to…
Added 52 mins ago
Senior Product Quality Manager
NVIDIA Corporation
North District, IL
Join NVIDIA's outstanding team and contribute to our legacy of innovation in the Senior Product Quality role! At NVIDIA, we are dedicated to pushing the boundaries of pioneering technology.…
Added 52 mins ago
Senior System Security Architect
NVIDIA Corporation
South District, IL · North District, IL
Partner with product and architecture organizations to embed security requirements early and translate threat landscapes into scalable solutions.
Added 52 mins ago
Senior High Speed Optical Transceiver Design Engineer
NVIDIA Corporation
North District, IL
Detailed design of the electrical schematics in the product, board design and components selection.
Added 52 mins ago
Senior Hardware System Engineer
NVIDIA Corporation
North District, IL
We are looking for a system engineer to join our Failure Analysis engineering team under the System Product Engineering group in the NVIDIA. As a System Failure Analysis (FA) Engineer, you…
Added 54 mins ago
Technical Lead, SWE
Kastle
San Francisco, CA
…architecture, raising the engineering bar, and turning ambitious product goals into reliable systems running inside bank…
Added 54 mins ago
Principal Open-Source Networking Architect
NVIDIA Corporation
North District, IL
Close work with product marketing, program managers, and account managers to ensure the successful execution of projects.
Added 54 mins ago
IC Packaging Engineer
NVIDIA Corporation
North District, IL
…world-class technology company, is seeking a passionate Package Engineer to join our team in Israel. In this role, you will have the opportunity to collaborate with several design and…
Added 54 mins ago
Senior Data and AI Solutions Engineer
NVIDIA Corporation
North District, IL
NVIDIA’s Networking System Product Engineering organization is looking for a Senior Data & AI Solutions Engineer - high-agency, self-directed Data & AI Solutions Engineer to partner with…
Added 54 mins ago
Senior Software Advanced Developer
NVIDIA Corporation
North District, IL
NVIDIA is seeking a highly skilled and modern software engineer to develop and prototype brand new advancements in distributed training and inference using NVIDIA’s Spectrum-X AI fabric.…
Added 54 mins ago
Software Architect
NVIDIA Corporation
North District, IL
…work together as one system. We are looking for an outstanding engineer to join our software architecture group and help shape the next generation of NVIDIA networking products, SmartNICs,…
Added 54 mins ago
Senior AI Networking System Architect
NVIDIA Corporation
North District, IL
Define the NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).
Added 58 mins ago
Senior Hardware Engineer
NVIDIA Corporation
North District, IL
The position consists of product specification definitions, electrical schematics, component selection, layout guidance, hands-on testing in a lab environment, accompanying production and…
Added 58 mins ago
Senior ASIC Power Management Micro Architect, Chip Design
NVIDIA Corporation
North District, IL
…everything we build. We are looking for a Senior ASIC Design Engineer to join our Chip Design team and take ownership of Power Management IP - from micro-architecture definition all the way…
Added 58 mins ago
Senior Product Security Compliance Architect
NVIDIA Corporation
North District, IL
…high-performance networking. We are seeking a proactive, highly technical Product Security Compliance Architect to join the NVIDIA Networking product security team. In this role, you will…
Added 58 mins ago
Senior Cybersecurity AI Solutions Engineer
NVIDIA Corporation
North District, IL
…the next team member - a versatile Cybersecurity AI solutions Engineer. As part of the heart of NVIDIA's commitment to networking product security is Cyberlab. The NVIDIA Networking…
Added 58 mins ago
Senior System Design Test Architect
NVIDIA Corporation
North District, IL
The teams are involving and part of the full product lifecycle from architecture definition trough development till the product will be EOL (end of life). As part of the effort mentioned…

Jobgether

Senior Forward Deployed Solution Engineer

Remote, United States

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Job details

Posting language: English
Posted: Oct 30, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Forward Deployed Solution Engineer based in the United States.

The Senior Forward Deployed Solution Engineer will lead complex customer deployments, translating strategic business and mission objectives into reliable, production-ready technical solutions. This hands-on engineering role combines software development, Kubernetes infrastructure, cloud and bare-metal systems, networking, and AI infrastructure. You will work directly with customer engineering teams, operators, and executives to design architectures, build automation, troubleshoot systems, and guide deployments from initial discovery through operational handoff. The scope spans cloud-native platforms, edge environments, GPU infrastructure, high-performance networking, and AI data and model workflows. You will collaborate with other forward-deployed engineering resources and internal Product and Engineering teams to turn deployment experience into reusable capabilities and standardized practices. This is an opportunity for an experienced technical leader who enjoys solving ambiguous problems and delivering solutions that customers can operate and scale independently.

Accountabilities

You will serve as a senior technical lead throughout complex customer engagements, taking responsibility for translating requirements into deployable architectures and ensuring that solutions deliver lasting operational and business value.

• Lead technical discovery with customers, translating business objectives, operational constraints, and mission requirements into practical technical architectures and deployment plans.

• Design, deploy, upgrade, and troubleshoot production Kubernetes clusters and cloud-native applications across public cloud, bare-metal, datacenter, and edge environments.

• Build automation, integrations, infrastructure tooling, and maintainable software to support repeatable deployments and reliable operations.

• Guide customer implementations from initial working capabilities through production readiness, scaled adoption, and operational handoff.

• Work across Kubernetes platforms, cloud infrastructure, Linux systems, GPU-enabled environments, data pipelines, and high-performance networking technologies.

• Design and support infrastructure for AI workloads, including GPU provisioning, drivers, container runtimes, Kubernetes scheduling, telemetry, and workload frameworks.

• Support the implementation and operation of AI data and model workflows, from data ingestion and preparation through deployment, inference, monitoring, and feedback.

• Troubleshoot complex distributed systems and networking issues, including routing, switching, DNS, load balancing, overlays, latency, bandwidth, congestion, and packet-level problems.

• Apply infrastructure-as-code, configuration automation, CI/CD, and GitOps practices to improve deployment consistency and operational efficiency.

• Address Kubernetes security and multi-tenancy requirements, including access controls, network policies, admission controls, resource quotas, secrets management, and tenant isolation.

• Collaborate with customer engineers, operators, technical leaders, and executives, clearly communicating architectural decisions, tradeoffs, delivery status, and emerging risks.

• Work closely with other forward-deployed engineering resources and deployment strategy stakeholders to coordinate technical execution and customer outcomes.

• Identify delivery risks early, communicate changes directly, and prioritize work to maintain progress in complex or evolving environments.

• Document architectures, configurations, operational procedures, and lessons learned to support customer independence and future deployments.

• Share implementation feedback with Product and Engineering teams, helping improve platform capabilities, automation, reference architectures, and deployment practices.

• Travel onsite to customer locations when needed for discovery, deployment, testing, and key operational milestones.

Requirements

The ideal candidate combines strong Kubernetes and infrastructure engineering expertise with software development skills and sound customer-facing judgment. You should be comfortable moving between code, architecture, infrastructure, networking, and stakeholder discussions while maintaining a clear focus on customer outcomes.

• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline, or equivalent practical experience.

• At least 6 years of professional experience in software engineering, platform engineering, site reliability engineering, DevOps, infrastructure engineering, solutions engineering, or a comparable customer-facing technical role.

• Production experience designing, deploying, upgrading, and troubleshooting Kubernetes clusters and cloud-native applications.

• Strong Linux and distributed-systems fundamentals, including processes, networking, storage, identity, certificates, resource management, and failure analysis.

• Proficiency in at least one modern programming language, preferably Go or Python, with the ability to develop maintainable, tested, production-quality code.

• Hands-on experience with infrastructure as code and configuration automation tools such as Terraform, Ansible, Cluster API, Helm, and Kustomize, or equivalent technologies.

• Experience implementing CI/CD or GitOps workflows using tools such as GitHub Actions, GitLab CI, Jenkins, Argo CD, or Flux.

• Working knowledge of Kubernetes security and multi-tenancy, including RBAC, namespaces, network policies, admission controls, quotas, secrets, pod security, and tenant isolation.

• Experience with at least one major public cloud provider and at least one datacenter deployment model, such as bare metal, VMware, KubeVirt, Proxmox, or OpenStack.

• Working knowledge of GPU-enabled infrastructure, including firmware, drivers, CUDA, container runtimes, Kubernetes scheduling, device plugins, telemetry, and workload frameworks.

• Understanding of the AI data and model lifecycle, from data ingestion through model deployment, inference, monitoring, and feedback.

• Strong networking fundamentals, including TCP/IP, routing, switching, DNS, BGP, load balancing, overlays, MTU, latency, bandwidth, congestion, and packet-level troubleshooting.

• Familiarity with high-performance AI networking concepts such as RDMA, RoCE, InfiniBand, SR-IOV, GPUDirect, and collective communication.

• Excellent communication skills, with the ability to explain architecture, technical tradeoffs, project status, and risks to engineers, operators, executives, and nontechnical stakeholders.

• Demonstrated ability to navigate ambiguous requirements, prioritize effectively, and deliver incremental value in a fast-moving environment.

• Willingness and ability to work onsite with customers for discovery, deployment, testing, and operational milestones.

• Authorization to work in the United States and ability to meet customer-specific access requirements.

The following qualifications are considered strong advantages:

• 8 or more years of relevant experience, including ownership of complex production deployments or strategic customer programs.

• Direct experience with Palette, PaletteAI, Cluster API, Kubernetes fleet management, edge Kubernetes, or declarative full-stack lifecycle platforms.

• Current CKA, CKS, CKAD, or relevant cloud, networking, security, or NVIDIA certifications.

• Production experience designing or operating NVIDIA Cloud Partner (NCP) or comparable multi-tenant GPU cloud environments.

• Deep expertise in tenant isolation across bare-metal infrastructure, virtual machines, Kubernetes control planes, GPU resources, storage, and high-performance networks.

• Hands-on experience with NVIDIA GPU Operator, Network Operator, DCGM, MIG, vGPU, NIM, Triton, TensorRT-LLM, vLLM, NCCL, or NVIDIA AI Enterprise.

• Experience with GPU schedulers and AI platform technologies such as Run, Slurm, Volcano, KAI, Ray, Kubeflow, or ClearML.

• Experience with distributed training or high-throughput inference using H100, H200, B200, GB200, GB300, or other modern accelerator platforms.

• Hands-on experience designing or operating NVIDIA Spectrum-X Ethernet fabrics, Quantum InfiniBand, ConnectX adapters, BlueField DPUs or SuperNICs, DOCA, or comparable high-speed, low-latency networking technologies.

• Experience configuring or troubleshooting GPUDirect RDMA, GPUDirect Storage, RDMA, RoCE, PFC, ECN, ECMP, SR-IOV, Multus, InfiniBand partitions, and topology-aware scheduling.

• Experience building or operating SONiC or Cumulus Linux leaf-spine fabrics, including FRR, BGP, EVPN/VXLAN, VRF, zero-touch provisioning, automated validation, upgrades, and telemetry.

• Experience integrating BlueField in DPU or restricted modes for network, security, storage, isolation, or telemetry offload, as well as familiarity with DPU provisioning, BMC, Redfish, attestation, and lifecycle management.

• Experience with high-performance storage and AI data platforms, including object storage, NVMe-oF, parallel file systems, data lakes, streaming, feature stores, vector databases, model registries, and metadata or lineage systems.

• Experience working in disconnected, air-gapped, sovereign, regulated, safety-sensitive, or classified environments.

• A record of contributing reusable software, open-source projects, reference architectures, technical publications, or customer enablement materials.

Benefits

• Fully remote position within the United States.

• Opportunity to work on advanced technologies spanning Kubernetes, cloud infrastructure, GPU systems, AI platforms, and high-performance networking.

• Direct involvement in complex, high-impact customer deployments and strategic technical initiatives.

• Broad technical ownership and the opportunity to influence customer architectures and operational outcomes.

• Close collaboration with experienced Field Engineering, Product, and Engineering teams.

• Opportunity to contribute to reusable software, automation, reference architectures, and improvements to future customer deployments.

• A collaborative, diverse, and fast-paced work environment that encourages innovation, professional growth, and meaningful technical contributions.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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